Software Engineer, AI Platform
Lila Sciences · Cambridge, MA USA · One Charles Park, Cambridge, MA
CHECKED 13H AGO
Bio & Science AIonsitesenior$148k–$210k
At a glance
Highlights
- Build software that powers ML workflows and research tooling with ML experts.
- Design high-performance ML libraries implementing researcher-designed algorithms.
- Build data pipelines linking lab data to ML teams to accelerate discovery.
What they offer
- bonus potential
- generous early-stage equity
- medical, dental, and vision coverage
- employer-paid life and disability insurance
- flexible time off with generous company holidays
- paid parental leave
- educational assistance program
- commuter benefits
- company subsidized lunch program
Ideal candidate
Seasoned software builder with 8+ years experience who thrives partnering with researchers. Team-first, curious self-starter who loves turning complex algorithms into robust, well-documented tools for fast-paced science.
Requirements
- Minimum of 8 years writing software in a commercial setting in Go or Python
- Experience implementing scalable software solutions
- Experience with MLOps systems and GitOps (ArgoCD, Github Actions)
- Familiarity with orchestration frameworks (Ray, Argo, Airflow)
- Proficiency in containerization, Kubernetes and infrastructure-as-code tools
- Acute listening skills and patience to deeply understand complex problems and algorithms
- Excellent problem-solving skills and team-first mentality
- Energetic self-starter and independent thinker with strong attention to detail
- Eager to work with highly skilled teams in a fast-paced, entrepreneurial setting
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation